Introductory data analysis 1100-1ENANALDAN2
This course has not yet been described...
Type of course
Prerequisites (description)
Learning outcomes
After completing the course student:
KNOWLEDGE
1. Knows what are the standards for estimating and presenting uncertainties of measurements accepted in natural sciences.
2. Knows the standards for describing experimental set-ups and presenting experimental results accepted in natural sciences.
SKILLS
1. Presents experimental results in the form of graphs or histograms.
2. Uses graphs and histograms to detect relations between measured quantities.
3. Estimates uncertainties of measurements.
4. Uses least-squares method to estimate parameters of linear relations between measured quantities.
5. Uses statistical tests: the 3σ test and the χ2
test.
Assessment criteria
Assessment form:
Positive note for a test in solving typical, simple problems in data-analysis.
Practical placement
None
Bibliography
1. J. R. Taylor, An Introduction to Error Analysis, Oxford University Press, Oxford, 1992.
2. G. L. Squires, Practical Physics, McGraw-Hill, London, 1976.
Further reading:
1. W. T. Eadie, D. Drijard, F. E. James, M. Roos, and B. Sadoulet, Statistical Methods in Experimental Physics, North-Holland, Amsterdam, 1971
2. S. Brandt, Data Analysis, Springer Verlag, New York, 1999.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Nuclear Power Engineering and Nuclear Chemistry, full time 3 year programme leading to B. Sc. Degree
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: